Precision Medicine, AI, and the New Frontier

If the current buzz is to be believed, we stand at the precipice of a new dawn in healthcare. Let’s put aside the enthusiasm and provide a dose of reality.

Achieving the objective of delivering AI-driven healthcare can be a risky path. Embarking on this pathway with data sets driving diagnosis must be tempered with clinical and analytical governance and oversight. In this post, we discuss:

• The challenges and opportunities of applying AI to precision medicine, which aims to provide personalized and effective healthcare based on data and evidence.
• The need for data quality, clinical governance, and ethical oversight to ensure AI solutions are reliable, safe and beneficial for patients and providers.
• A proposed five-step process for healthcare providers to explore and implement AI solutions in their organizations, involving data analysis, clinical identification, ROI estimation, MVP modelling and pilot testing.

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